APPLICATION

APPLICATION

Application areas

Smart agriculture continuously optimizes the crop model, which can guide new farmers to water and fertilize in time, warn the fields of abnormal weather and temperature by short message, and can also check the growth of each field at any time. Even if they are on business trips, they can adjust the production plan at any time.
Through the introduction of extremely flying intelligent agricultural system, happy garden intelligent farm can accurately manage production planning and execution. For example, to record the plots involved in different production stages, the consumption of agricultural materials for planting fertilizer, the use of agricultural equipment, etc., the farm management personnel can monitor the agricultural records of the selected plots in real time through the system background, and continuously optimize the allocation of resources and reduce the cost according to the data recorded by the agricultural machinery equipment, such as the operation area, fertilization and pesticide application amount, and the yield per mu. As early as the 2019 Zengcheng Winter Planting Production Conference, Happy Garden had already used extremely flying agricultural unmanned aerial vehicles to carry out fully autonomous large-scale operations. Polar-flying agricultural drones can be equipped with spraying or sowing systems to automate pesticide application or sowing operations. Taking sowing as an example, the high-speed air flow sowing technology independently developed by Jifeng solves the shortcomings of inaccurate dosage, uneven sowing and germ damage of traditional air sowing. Through high-speed air flow, solid particles of 1-10mm such as seeds and chemical fertilizers can be sprayed evenly to accurate positions efficiently. It can complete more than 80 mu of rice sowing operations per hour, which is 50-60 times the efficiency of artificial sowing. Remote sensing and AI recognition technology of extremely flying unmanned aerial vehicles can also be used for basic seedling analysis and plant statistics. Basic seedlings are an important basis for predicting yield. According to the yield target, if the number of seedlings is too small, replanting measures need to be taken in time for the lack of seedlings. If the standard is exceeded, the number of mu needs to be adjusted in time.